






'''simple docstring'''







import math


def       __UpperCamelCase					(      lowercase_       :  Optional[int]   ):
       """simple docstring"""




       return math.sqrt(a__   ) * math.sqrt(a__   ) == num


def       __UpperCamelCase					(      lowercase_       :  Tuple   ):
       """simple docstring"""




       a_						     =			0
       a_						     =			n
       while left <= right:
              a_						     =			(left + right) // 2
              if mid**2 == n:
                     return True
              elif mid**2 > n:
                     a_						     =			mid - 1
              else:
                     a_						     =			mid + 1
       return False


if __name__ == "__main__":
  import doctest

  doctest.testmod()





import os
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import SPIECE_UNDERLINE, logging


lowerCamelCase__  =					logging.get_logger(__name__)

lowerCamelCase__  =					{'''vocab_file''': '''spiece.model'''}

lowerCamelCase__  =					{
    '''vocab_file''': {
        '''xlnet-base-cased''': '''https://huggingface.co/xlnet-base-cased/resolve/main/spiece.model''',
        '''xlnet-large-cased''': '''https://huggingface.co/xlnet-large-cased/resolve/main/spiece.model''',
    }
}

lowerCamelCase__  =					{
    '''xlnet-base-cased''': None,
    '''xlnet-large-cased''': None,
}

# Segments (not really needed)
lowerCamelCase__  =					0
lowerCamelCase__  =					1
lowerCamelCase__  =					2
lowerCamelCase__  =					3
lowerCamelCase__  =					4




class 					_UpperCAmelCase			(     lowerCAmelCase  ):



 '''simple docstring'''




 __A			       =					VOCAB_FILES_NAMES
 __A			       =					PRETRAINED_VOCAB_FILES_MAP
 __A			       =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __A			       =					'''left'''







 def __init__(		self				:   int							, lowercase_				:   Optional[int]							, lowercase_				:   Dict=False							, lowercase_				:   Any=True							, lowercase_				:   Any=False							, lowercase_				:   Any="<s>"							, lowercase_				:   Dict="</s>"							, lowercase_				:   Optional[Any]="<unk>"							, lowercase_				:   Optional[int]="<sep>"							, lowercase_				:   Optional[Any]="<pad>"							, lowercase_				:   Tuple="<cls>"							, lowercase_				:   Union[str, Any]="<mask>"							, lowercase_				:   Dict=["<eop>", "<eod>"]							, lowercase_				:   Optional[Dict[str, Any]] = None							, **lowercase_				:   int							, )						->	None:


   """simple docstring"""







   _UpperCamelCase           =    AddedToken(lowercase_							, lstrip=lowercase_							, rstrip=lowercase_) if isinstance(lowercase_							, lowercase_) else mask_token

   _UpperCamelCase           =    {} if sp_model_kwargs is None else sp_model_kwargs

   super().__init__(
       do_lower_case=lowercase_							, remove_space=lowercase_							, keep_accents=lowercase_							, bos_token=lowercase_							, eos_token=lowercase_							, unk_token=lowercase_							, sep_token=lowercase_							, pad_token=lowercase_							, cls_token=lowercase_							, mask_token=lowercase_							, additional_special_tokens=lowercase_							, sp_model_kwargs=self.sp_model_kwargs							, **lowercase_							, )

   _UpperCamelCase           =    3

   _UpperCamelCase           =    do_lower_case
   _UpperCamelCase           =    remove_space
   _UpperCamelCase           =    keep_accents
   _UpperCamelCase           =    vocab_file

   _UpperCamelCase           =    spm.SentencePieceProcessor(**self.sp_model_kwargs)
   self.sp_model.Load(lowercase_)







 @property
 def 		__UpperCAmelCase				(		self				:   List[str])						->	Dict:


   """simple docstring"""







   return len(self.sp_model)







 def 		__UpperCAmelCase				(		self				:   List[str])						->	Union[str, Any]:


   """simple docstring"""







   _UpperCamelCase           =    {self.convert_ids_to_tokens(lowercase_): i for i in range(self.vocab_size)}
   vocab.update(self.added_tokens_encoder)
   return vocab







 def __getstate__(		self				:   Optional[int])						->	Any:


   """simple docstring"""







   _UpperCamelCase           =    self.__dict__.copy()
   _UpperCamelCase           =    None
   return state







 def __setstate__(		self				:   Tuple							, lowercase_				:   List[str])						->	Dict:


   """simple docstring"""







   _UpperCamelCase           =    d

   # for backward compatibility
   if not hasattr(self							, "sp_model_kwargs"):
     _UpperCamelCase           =    {}

   _UpperCamelCase           =    spm.SentencePieceProcessor(**self.sp_model_kwargs)
   self.sp_model.Load(self.vocab_file)







 def 		__UpperCAmelCase				(		self				:   str							, lowercase_				:   Optional[Any])						->	Tuple:


   """simple docstring"""







   if self.remove_space:
     _UpperCamelCase           =    " ".join(inputs.strip().split())
   else:
     _UpperCamelCase           =    inputs
   _UpperCamelCase           =    outputs.replace("``"							, "\"").replace("''"							, "\"")

   if not self.keep_accents:
     _UpperCamelCase           =    unicodedata.normalize("NFKD"							, lowercase_)
     _UpperCamelCase           =    "".join([c for c in outputs if not unicodedata.combining(lowercase_)])
   if self.do_lower_case:
     _UpperCamelCase           =    outputs.lower()

   return outputs







 def 		__UpperCAmelCase				(		self				:   str							, lowercase_				:   str)						->	List[str]:


   """simple docstring"""







   _UpperCamelCase           =    self.preprocess_text(lowercase_)
   _UpperCamelCase           =    self.sp_model.encode(lowercase_							, out_type=lowercase_)
   _UpperCamelCase           =    []
   for piece in pieces:
     if len(lowercase_) > 1 and piece[-1] == str(",") and piece[-2].isdigit():
       _UpperCamelCase           =    self.sp_model.EncodeAsPieces(piece[:-1].replace(lowercase_							, ""))
       if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
         if len(cur_pieces[0]) == 1:
           _UpperCamelCase           =    cur_pieces[1:]
         else:
           _UpperCamelCase           =    cur_pieces[0][1:]
       cur_pieces.append(piece[-1])
       new_pieces.extend(lowercase_)
     else:
       new_pieces.append(lowercase_)

   return new_pieces







 def 		__UpperCAmelCase				(		self				:   Optional[Any]							, lowercase_				:   Tuple)						->	List[str]:


   """simple docstring"""







   return self.sp_model.PieceToId(lowercase_)







 def 		__UpperCAmelCase				(		self				:   Optional[Any]							, lowercase_				:   int)						->	Any:


   """simple docstring"""







   return self.sp_model.IdToPiece(lowercase_)







 def 		__UpperCAmelCase				(		self				:   Optional[int]							, lowercase_				:   Union[str, Any])						->	Tuple:


   """simple docstring"""







   _UpperCamelCase           =    "".join(lowercase_).replace(lowercase_							, " ").strip()
   return out_string







 def 		__UpperCAmelCase				(		self				:   Optional[Any]							, lowercase_				:   List[int]							, lowercase_				:   bool = False							, lowercase_				:   bool = None							, lowercase_				:   bool = True							, **lowercase_				:   int							, )						->	str:


   """simple docstring"""







   _UpperCamelCase           =    kwargs.pop("use_source_tokenizer"							, lowercase_)

   _UpperCamelCase           =    self.convert_ids_to_tokens(lowercase_							, skip_special_tokens=lowercase_)

   # To avoid mixing byte-level and unicode for byte-level BPT
   # we need to build string separately for added tokens and byte-level tokens
   # cf. https://github.com/huggingface/transformers/issues/1133
   _UpperCamelCase           =    []
   _UpperCamelCase           =    []
   for token in filtered_tokens:
     if skip_special_tokens and token in self.all_special_ids:
       continue
     if token in self.added_tokens_encoder:
       if current_sub_text:
         sub_texts.append(self.convert_tokens_to_string(lowercase_))
         _UpperCamelCase           =    []
       sub_texts.append(lowercase_)
     else:
       current_sub_text.append(lowercase_)
   if current_sub_text:
     sub_texts.append(self.convert_tokens_to_string(lowercase_))

   # Mimic the behavior of the Rust tokenizer:
   # By default, there are no spaces between special tokens
   _UpperCamelCase           =    "".join(lowercase_)

   _UpperCamelCase           =    (
       clean_up_tokenization_spaces
       if clean_up_tokenization_spaces is not None
       else self.clean_up_tokenization_spaces
   )
   if clean_up_tokenization_spaces:
     _UpperCamelCase           =    self.clean_up_tokenization(lowercase_)
     return clean_text
   else:
     return text







 def 		__UpperCAmelCase				(		self				:   str							, lowercase_				:   List[int]							, lowercase_				:   Optional[List[int]] = None)						->	List[int]:


   """simple docstring"""







   _UpperCamelCase           =    [self.sep_token_id]
   _UpperCamelCase           =    [self.cls_token_id]
   if token_ids_a is None:
     return token_ids_a + sep + cls
   return token_ids_a + sep + token_ids_a + sep + cls







 def 		__UpperCAmelCase				(		self				:   Tuple							, lowercase_				:   List[int]							, lowercase_				:   Optional[List[int]] = None							, lowercase_				:   bool = False)						->	List[int]:


   """simple docstring"""







   if already_has_special_tokens:
     return super().get_special_tokens_mask(
         token_ids_a=lowercase_							, token_ids_a=lowercase_							, already_has_special_tokens=lowercase_)

   if token_ids_a is not None:
     return ([0] * len(lowercase_)) + [1] + ([0] * len(lowercase_)) + [1, 1]
   return ([0] * len(lowercase_)) + [1, 1]







 def 		__UpperCAmelCase				(		self				:   str							, lowercase_				:   List[int]							, lowercase_				:   Optional[List[int]] = None)						->	List[int]:


   """simple docstring"""







   _UpperCamelCase           =    [self.sep_token_id]
   _UpperCamelCase           =    [2]

   if token_ids_a is None:
     return len(token_ids_a + sep) * [0] + cls_segment_id
   return len(token_ids_a + sep) * [0] + len(token_ids_a + sep) * [1] + cls_segment_id







 def 		__UpperCAmelCase				(		self				:   Tuple							, lowercase_				:   str							, lowercase_				:   Optional[str] = None)						->	Tuple[str]:


   """simple docstring"""







   if not os.path.isdir(lowercase_):
     logger.error(f'Vocabulary path ({save_directory}) should be a directory')
     return
   _UpperCamelCase           =    os.path.join(
       lowercase_							, (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"])

   if os.path.abspath(self.vocab_file) != os.path.abspath(lowercase_) and os.path.isfile(self.vocab_file):
     copyfile(self.vocab_file							, lowercase_)
   elif not os.path.isfile(self.vocab_file):
     with open(lowercase_							, "wb") as fi:
       _UpperCamelCase           =    self.sp_model.serialized_model_proto()
       fi.write(lowercase_)

   return (out_vocab_file,)




